Triple

T8695011
Position Surface form Disambiguated ID Type / Status
Subject Bryan, Texas E206384 entity
Predicate transportServedBy P1298 FINISHED
Object Easterwood Airport E134430 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Easterwood Airport | Statement: [Bryan, Texas, transportServedBy, Easterwood Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Easterwood Airport
Context triple: [Bryan, Texas, transportServedBy, Easterwood Airport]
  • A. Easterwood Airport chosen
    Easterwood Airport is a regional airport serving College Station, Texas, and the surrounding Brazos Valley area, providing commercial and general aviation services.
  • B. Ellis Municipal Airport
    Ellis Municipal Airport is a small public-use airfield serving general aviation needs for the community of Ellis in western Kansas.
  • C. Perry-Foley Airport
    Perry-Foley Airport is a public airport serving the city of Perry and surrounding areas in Taylor County, Florida.
  • D. Buchanan Field Airport
    Buchanan Field Airport is a public general aviation airport serving the city of Concord and the surrounding Contra Costa County area in California.
  • E. Love Field Airport
    Love Field Airport is a major public airport in Dallas, Texas, serving as a key hub for domestic flights and corporate aviation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58284c58819091beb05a7d6b3a1b completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3fc5a788190a765942fc0b964c9 completed April 2, 2026, 10:55 p.m.
Created at: March 30, 2026, 6:33 p.m.